Koyo Sato and Shunsuke Ono, "Towards robust hyperspectral anomaly detection: Decomposing background, anomaly, and mixed noise via convex optimization," [arXiv]
International Conference (peer-reviewed)
2024
Koyo Sato, Kazuki Naganuma and Shunsuke Ono, "Enhancing hyperspectral anomaly detection by difference-of-convex sparse anomaly modeling," in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seoul, Korea, Republic of, pp. 9921-9925, Apr. 2024. [official]
2023
Koyo Sato and Shunsuke Ono, "Robust hyperspectral anomaly detection with simultaneous mixed noise removal via constrained convex optimization," in Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes Island, Greece, pp. 1-5, June 2023. [official]
Domestic Conference (Non Peer-reviewed)
2023
佐藤航洋, 長沼一輝, 小野峻佑, "A Difference-of-Convex Approach to Hyperspectral Anomaly Detection," 第38回信号処理シンポジウム, Nov. 2023.（2023年度信号処理若手奨励賞）
2022
佐藤航洋, 小野峻佑, "制約付き凸最適化による混合ノイズを考慮したハイパースペクトル異常検出, " 第37回信号処理シンポジウム, Dec. 2022.
佐藤航洋, 小野峻佑, "凸最適化に基づく成分分離による頑健なハイパースペクトル異常検出," 電子情報通信学会 信号処理研究会, Mar. 2022.